Artificial Intelligence in Agriculture Market by Offering (Hardware, Services, Software), Technology (Computer Vision, Machine Learning, Predictive Analytics), Deployment, Application - Global Forecast 2024-2030
Description
Artificial Intelligence in Agriculture Market by Offering (Hardware, Services, Software), Technology (Computer Vision, Machine Learning, Predictive Analytics), Deployment, Application - Global Forecast 2024-2030
The Artificial Intelligence in Agriculture Market size was estimated at USD 2.25 billion in 2023 and expected to reach USD 2.73 billion in 2024, at a CAGR 22.45% to reach USD 9.29 billion by 2030.
Artificial intelligence (AI) techniques are significantly growing across the agriculture sector, which helps farmers to determine various parameters such as weed detection and yield detection and optimize the production and operation processes. These AI technologies allow farmers to recognize specific areas that need pesticide treatment, irrigation, and fertilization and harvest the crops without human error. In addition, these technologies save the excess use of water, pesticides, and herbicides, preserve soil fertility, and improve crop quality. Furthermore, the adoption of advanced unmanned aerial vehicles (UAVs) among farmers is significantly growing owing to their multiple features, such as capturing high-quality images and videos, which enables farmers to monitor the crops continuously. In addition, these unmanned aerial vehicles are assisting farmers in gathering data and tracking crops more effectively. These drones are widely used for various activities in agriculture, including crop mapping, soil analysis, irrigation, pest management, and increasing crop yield. However, the high cost of deployment of artificial intelligence and lack of awareness among farmers for AI in the agriculture sector is limiting the market growth. Moreover, introducing advanced farming technologies with artificial intelligence, such as big data and IoT, enables more precise farming practices, including irrigation, fertilizing, crop protection, and harvesting.
Regional Insights
The advanced agriculture facilities and adoption of AI-based agriculture owing to the easy accessibility of AI-based agriculture across North America regions are contributing to the growth of artificial intelligence in the agriculture market. Additionally, U.S. government initiatives such as the farms of the future program, which aim to encourage farmers to adopt and integrate technology, are expected to create opportunities for artificial intelligence in the agriculture market across the Americas. Furthermore, SmartAgriHubs projects are encouraging farmers to adopt digital solutions to accelerate the digital transformation in the EU farming sector, majorly in rural areas, which is further expected to grow the market in this region. Emerging agriculture developments and government programs for the adoption of advanced technologies across the agriculture sector in various Asia Pacific countries, including India, China, and Vietnam, are subsequently expanding the market scope.
FPNV Positioning Matrix
The FPNV Positioning Matrix is pivotal in evaluating the Artificial Intelligence in Agriculture Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).
Market Share Analysis
The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Artificial Intelligence in Agriculture Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.
Key Company Profiles
The report delves into recent significant developments in the Artificial Intelligence in Agriculture Market, highlighting leading vendors and their innovative profiles. These include Ag Code by Wilbur-Ellis Holdings, Inc., AGCO Corporation, AgEagle Aerial Systems Inc., AgNext, Apro Software, Bayer AG., Cainthus by Ever.Ag, ClimateAi, inc., Corteva Agriscience by Albaugh, LLC, Cropin Technology Solutions Pvt Ltd., CropX Technologies Ltd., DeHaat by Green Agrevolution PVT. LTD, Descartes Labs, Inc. by Antarctica Capital, FarmBot, Inc., Farmers Edge Inc., Gamaya Inc., Gro Intelligence, Inc., Infosys Limited, Intellias, LLC, Intello Labs Private Limited, International Business Machines Corporation, John Deere Group, Keenethics., Khetibuddy Agritech Private Limited., Microsoft Corporation, PrecisionHawk Inc., Raven Industries, Inc., Trace Genomics, Inc., Trimble Inc., Tule Technologies Inc., and Wipro Limited.
Market Segmentation & Coverage
This research report categorizes the Artificial Intelligence in Agriculture Market to forecast the revenues and analyze trends in each of the following sub-markets:
Offering
Hardware
Computer Vision
Cloud
Agriculture Robots
Americas
Argentina
California
Australia
Denmark
The report offers valuable insights on the following aspects:
- Market Penetration: It presents comprehensive information on the market provided by key players.
- Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
- Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
- Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.
- Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.
- What is the market size and forecast of the Artificial Intelligence in Agriculture Market?
- Which products, segments, applications, and areas should one consider investing in over the forecast period in the Artificial Intelligence in Agriculture Market?
- What are the technology trends and regulatory frameworks in the Artificial Intelligence in Agriculture Market?
- What is the market share of the leading vendors in the Artificial Intelligence in Agriculture Market?
- Which modes and strategic moves are suitable for entering the Artificial Intelligence in Agriculture Market?
Note: PDF & Excel + Online Access - 1 Year
Table of Contents
186 Pages
- 1. Preface
- 1.1. Objectives of the Study
- 1.2. Market Segmentation & Coverage
- 1.3. Years Considered for the Study
- 1.4. Currency & Pricing
- 1.5. Language
- 1.6. Limitations
- 1.7. Assumptions
- 1.8. Stakeholders
- 2. Research Methodology
- 2.1. Define: Research Objective
- 2.2. Determine: Research Design
- 2.3. Prepare: Research Instrument
- 2.4. Collect: Data Source
- 2.5. Analyze: Data Interpretation
- 2.6. Formulate: Data Verification
- 2.7. Publish: Research Report
- 2.8. Repeat: Report Update
- 3. Executive Summary
- 4. Market Overview
- 4.1. Introduction
- 4.2. Artificial Intelligence in Agriculture Market, by Region
- 5. Market Insights
- 5.1. Market Dynamics
- 5.1.1. Drivers
- 5.1.1.1. Growing trend of predictive analytics to enhance agricultural productivity
- 5.1.1.2. Favorable government and private organizations initiatives to adopt modern
- agricultural technologies
- 5.1.1.3. Escalating adoption of advanced unmanned aerial vehicles (UAVs), and satellite imaging systems across agriculture sector
- 5.1.2. Restraints
- 5.1.2.1. Constraints associated with the high cost of deployment of artificial intelligence (AI) in precision farming equipment
- 5.1.3. Opportunities
- 5.1.3.1. Emerging application of AI based agriculture in livestock monitoring and precision farming
- 5.1.3.2. Integration of advanced farming technologies including big data, and IoT sensors with artificial intelligence
- 5.1.4. Challenges
- 5.1.4.1. Lack of awareness and limited availability of skilled professionals
- 5.2. Market Segmentation Analysis
- 5.3. Market Trend Analysis
- 5.4. Cumulative Impact of High Inflation
- 5.5. Porter’s Five Forces Analysis
- 5.5.1. Threat of New Entrants
- 5.5.2. Threat of Substitutes
- 5.5.3. Bargaining Power of Customers
- 5.5.4. Bargaining Power of Suppliers
- 5.5.5. Industry Rivalry
- 5.6. Value Chain & Critical Path Analysis
- 5.7. Regulatory Framework
- 6. Artificial Intelligence in Agriculture Market, by Offering
- 6.1. Introduction
- 6.2. Hardware
- 6.3. Services
- 6.4. Software
- 7. Artificial Intelligence in Agriculture Market, by Technology
- 7.1. Introduction
- 7.2. Computer Vision
- 7.3. Machine Learning
- 7.4. Predictive Analytics
- 8. Artificial Intelligence in Agriculture Market, by Deployment
- 8.1. Introduction
- 8.2. Cloud
- 8.3. Hybrid
- 8.4. On-premise
- 9. Artificial Intelligence in Agriculture Market, by Application
- 9.1. Introduction
- 9.2. Agriculture Robots
- 9.3. Drone Analytics
- 9.4. Labor Management
- 9.5. Livestock Monitoring
- 9.6. Precision Farming
- 10. Americas Artificial Intelligence in Agriculture Market
- 10.1. Introduction
- 10.2. Argentina
- 10.3. Brazil
- 10.4. Canada
- 10.5. Mexico
- 10.6. United States
- 11. Asia-Pacific Artificial Intelligence in Agriculture Market
- 11.1. Introduction
- 11.2. Australia
- 11.3. China
- 11.4. India
- 11.5. Indonesia
- 11.6. Japan
- 11.7. Malaysia
- 11.8. Philippines
- 11.9. Singapore
- 11.10. South Korea
- 11.11. Taiwan
- 11.12. Thailand
- 11.13. Vietnam
- 12. Europe, Middle East & Africa Artificial Intelligence in Agriculture Market
- 12.1. Introduction
- 12.2. Denmark
- 12.3. Egypt
- 12.4. Finland
- 12.5. France
- 12.6. Germany
- 12.7. Israel
- 12.8. Italy
- 12.9. Netherlands
- 12.10. Nigeria
- 12.11. Norway
- 12.12. Poland
- 12.13. Qatar
- 12.14. Russia
- 12.15. Saudi Arabia
- 12.16. South Africa
- 12.17. Spain
- 12.18. Sweden
- 12.19. Switzerland
- 12.20. Turkey
- 12.21. United Arab Emirates
- 12.22. United Kingdom
- 13. Competitive Landscape
- 13.1. FPNV Positioning Matrix
- 13.2. Market Share Analysis, By Key Player
- 13.3. Competitive Scenario Analysis, By Key Player
- 13.3.1. Merger & Acquisition
- 13.3.1.1. Agreena Acquires Hummingbird Technologies to Strengthen Carbon Farming
- 13.3.1.2. AiDash Buys Farming AI Platform Neurafarms.ai
- 13.3.2. Agreement, Collaboration, & Partnership
- 13.3.2.1. Wadhwani AI Signs MoU with Karnataka Government to Promote Welfare for Farmers
- 13.3.2.2. U.S. EU AI Agreement: U.S. and EU to Launch First-of-its-Kind Artificial Intelligence Agreement
- 13.3.3. New Product Launch & Enhancement
- 13.3.3.1. UAE Launches New AI-Powered Mobile App for Crop Disorder Detection
- 13.3.3.2. Syngenta, Plantix Launch AI Farming Tools for Farmers Across Asia
- 13.3.3.3. Cropin Plans to Launch World’s First Agri Intelligence Cloud- ‘Agcloud’ Soon
- 13.3.4. Investment & Funding
- 13.3.4.1. Astanor Ventures Leads USD 23 Million Series A for Source.Ag's Greenhouse System
- 13.3.4.2. Wadhwani AI Gets USD 1 Million Grant from Google.org to Build AI Solutions in Agriculture
- 13.3.5. Award, Recognition, & Expansion
- 13.3.5.1. SLCM’s AI-Based App Agri Reach Gets NABL Accreditation
- 14. Competitive Portfolio
- 14.1. Key Company Profiles
- 14.1.1. Ag Code by Wilbur-Ellis Holdings, Inc.
- 14.1.2. AGCO Corporation
- 14.1.3. AgEagle Aerial Systems Inc.
- 14.1.4. AgNext
- 14.1.5. Apro Software
- 14.1.6. Bayer AG.
- 14.1.7. Cainthus by Ever.Ag
- 14.1.8. ClimateAi, inc.
- 14.1.9. Corteva Agriscience by Albaugh, LLC
- 14.1.10. Cropin Technology Solutions Pvt Ltd.
- 14.1.11. CropX Technologies Ltd.
- 14.1.12. DeHaat by Green Agrevolution PVT. LTD
- 14.1.13. Descartes Labs, Inc. by Antarctica Capital
- 14.1.14. FarmBot, Inc.
- 14.1.15. Farmers Edge Inc.
- 14.1.16. Gamaya Inc.
- 14.1.17. Gro Intelligence, Inc.
- 14.1.18. Infosys Limited
- 14.1.19. Intellias, LLC
- 14.1.20. Intello Labs Private Limited
- 14.1.21. International Business Machines Corporation
- 14.1.22. John Deere Group
- 14.1.23. Keenethics.
- 14.1.24. Khetibuddy Agritech Private Limited.
- 14.1.25. Microsoft Corporation
- 14.1.26. PrecisionHawk Inc.
- 14.1.27. Raven Industries, Inc.
- 14.1.28. Trace Genomics, Inc.
- 14.1.29. Trimble Inc.
- 14.1.30. Tule Technologies Inc.
- 14.1.31. Wipro Limited
- 14.2. Key Product Portfolio
- 15. Appendix
- 15.1. Discussion Guide
- 15.2. License & Pricing
- FIGURE 1. ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET RESEARCH PROCESS
- FIGURE 2. ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, 2023 VS 2030
- FIGURE 3. ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, 2018-2030 (USD MILLION)
- FIGURE 4. ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY REGION, 2023 VS 2030 (%)
- FIGURE 5. ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 6. ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET DYNAMICS
- FIGURE 7. ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2023 VS 2030 (%)
- FIGURE 8. ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 9. ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2023 VS 2030 (%)
- FIGURE 10. ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 11. ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2023 VS 2030 (%)
- FIGURE 12. ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 13. ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2023 VS 2030 (%)
- FIGURE 14. ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 15. AMERICAS ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
- FIGURE 16. AMERICAS ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 17. UNITED STATES ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY STATE, 2023 VS 2030 (%)
- FIGURE 18. UNITED STATES ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 19. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
- FIGURE 20. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 21. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
- FIGURE 22. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 23. ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET, FPNV POSITIONING MATRIX, 2023
- FIGURE 24. ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SHARE, BY KEY PLAYER, 2023
Pricing
Currency Rates
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